Will climate change increase the risk of plant invasions into mountains?
暂无分享,去创建一个
Antoine Guisan | Olivier Broennimann | Blaise Petitpierre | Tim Seipel | Christoph Kueffer | Keith McDougall | B. Petitpierre | A. Guisan | O. Broennimann | C. Kueffer | K. McDougall | Tim F. Seipel
[1] Laura Hoch,et al. Alpine Plant Life Functional Plant Ecology Of High Mountain Ecosystems , 2016 .
[2] P. Edwards,et al. Performance of the herb Verbascum thapsus along environmental gradients in its native and non‐native ranges , 2015 .
[3] Antoine Guisan,et al. Unifying niche shift studies: insights from biological invasions. , 2014, Trends in ecology & evolution.
[4] M. Pascual,et al. Altitudinal Changes in Malaria Incidence in Highlands of Ethiopia and Colombia , 2014, Science.
[5] J. Calabrese,et al. Stacking species distribution models and adjusting bias by linking them to macroecological models , 2014 .
[6] M. Leishman,et al. Next-Generation Invaders? Hotspots for Naturalised Sleeper Weeds in Australia under Future Climates , 2013, PloS one.
[7] Brendan A. Wintle,et al. Predicting species distributions for conservation decisions , 2013, Ecology letters.
[8] B. Husband,et al. ADAPTATION OF DIPLOID AND TETRAPLOID CHAMERION ANGUSTIFOLIUM TO ELEVATION BUT NOT LOCAL ENVIRONMENT , 2013, Evolution; international journal of organic evolution.
[9] J. Franklin,et al. Modeling plant species distributions under future climates: how fine scale do climate projections need to be? , 2013, Global change biology.
[10] B. Petitpierre. Using environmental niche modeling to understand biological invasions in a changing world , 2013 .
[11] C. G. Parks,et al. Plant invasions into mountain protected areas : assessment, prevention and control at multiple spatial scales , 2013 .
[12] Antoine Guisan,et al. The accuracy of plant assemblage prediction from species distribution models varies along environmental gradients , 2013 .
[13] Wilfried Thuiller,et al. Invasive species distribution models – how violating the equilibrium assumption can create new insights , 2012 .
[14] R. Bertrand,et al. Disregarding the edaphic dimension in species distribution models leads to the omission of crucial spatial information under climate change: the case of Quercus pubescens in France , 2012 .
[15] Alberto Jiménez-Valverde,et al. Delimiting the geographical background in species distribution modelling , 2012 .
[16] C. Plutzar,et al. Extinction debt of high-mountain plants under twenty-first-century climate change , 2012 .
[17] F. Jiguet,et al. Selecting pseudo‐absences for species distribution models: how, where and how many? , 2012 .
[18] P. Edwards,et al. Genetically based differentiation in growth of multiple non-native plant species along a steep environmental gradient , 2012, Oecologia.
[19] C. Siniscalco,et al. Establishing climatic constraints shaping the distribution of alien plant species along the elevation gradient in the Alps , 2012, Plant Ecology.
[20] Michelle R. Leishman,et al. Invasion hotspots for non‐native plants in Australia under current and future climates , 2012 .
[21] Jeff R. Powell,et al. Accounting for uncertainty in species delineation during the analysis of environmental DNA sequence data , 2012 .
[22] Aníbal Pauchard,et al. Processes at multiple scales affect richness and similarity of non‐native plant species in mountains around the world , 2012 .
[23] Robert K. Colwell,et al. Assessing the threat to montane biodiversity from discordant shifts in temperature and precipitation in a changing climate. , 2011, Ecology letters.
[24] Aníbal Pauchard,et al. Plant Invasions in Mountains: Global Lessons for Better Management , 2011 .
[25] A. Guisan,et al. Predicting spatial patterns of plant species richness: a comparison of direct macroecological and species stacking modelling approaches , 2011 .
[26] Bruce L. Webber,et al. Modelling horses for novel climate courses: insights from projecting potential distributions of native and alien Australian acacias with correlative and mechanistic models , 2011 .
[27] Antoine Guisan,et al. SESAM – a new framework integrating macroecological and species distribution models for predicting spatio‐temporal patterns of species assemblages , 2011 .
[28] M. Araújo,et al. 21st century climate change threatens mountain flora unequally across Europe , 2011 .
[29] A. Peterson,et al. The crucial role of the accessible area in ecological niche modeling and species distribution modeling , 2011 .
[30] A. Peterson. Ecological niche conservatism: a time‐structured review of evidence , 2011 .
[31] L. Hughes,et al. Climate change and Australia: key vulnerable regions , 2011 .
[32] J. Juvik,et al. "The upper limits of vegetation on Mauna Loa, Hawaii": a 50th-anniversary reassessment. , 2011, Ecology.
[33] C. Körner,et al. Topographically controlled thermal‐habitat differentiation buffers alpine plant diversity against climate warming , 2011 .
[34] J. Abatzoglou,et al. Changes in Climatic Water Balance Drive Downhill Shifts in Plant Species’ Optimum Elevations , 2011, Science.
[35] Aníbal Pauchard,et al. Alien flora of mountains: global comparisons for the development of local preventive measures against plant invasions , 2011 .
[36] Tim Seipel. Distribution and demographics of non-native plants in mountainous regions , 2011 .
[37] A. Peterson,et al. Conclusions about Niche Expansion in Introduced Impatiens walleriana Populations Depend on Method of Analysis , 2010, PloS one.
[38] Aníbal Pauchard,et al. Assembly of nonnative floras along elevational gradients explained by directional ecological filtering , 2010, Proceedings of the National Academy of Sciences.
[39] Steven J. Phillips,et al. The art of modelling range‐shifting species , 2010 .
[40] C. Kueffer,et al. Introduced weed richness across altitudinal gradients in Hawai’i: humps, humans and water-energy dynamics , 2010, Biological Invasions.
[41] P. Edwards,et al. The role of bioclimatic origin, residence time and habitat context in shaping non-native plant distributions along an altitudinal gradient , 2010, Biological Invasions.
[42] P. Edwards,et al. No adaptation to altitude in the invasive plant Erigeron annuus in the Swiss Alps , 2010 .
[43] Antoine Guisan,et al. Going against the flow: potential mechanisms for unexpected downslope range shifts in a warming climate , 2010 .
[44] Catherine Marina Pickering,et al. The Australian Alps: opportunities and challenges for geotourism , 2010 .
[45] Other. Europe's ecological backbone: recognising the true value of our mountains , 2010 .
[46] M. Nobis,et al. Flora indicativa = Ecological inicator values and biological attributes of the flora of Switzerland and the Alps : ökologische Zeigerwerte und biologische Kennzeichen zur Flora der Schweiz und der Alpen , 2010 .
[47] R. Meentemeyer,et al. Invasive species distribution modeling (iSDM): Are absence data and dispersal constraints needed to predict actual distributions? , 2009 .
[48] P. Vittoz,et al. Land use improves spatial predictions of mountain plant abundance but not presence-absence , 2009 .
[49] Wolfgang Nentwig,et al. Alien species in a warmer world: risks and opportunities. , 2009, Trends in ecology & evolution.
[50] K. Gaston,et al. Contrasting response of native and alien plant species richness to environmental energy and human impact along alpine elevation gradients. , 2009 .
[51] Niklaus E. Zimmermann,et al. Neophyte species richness at the landscape scale under urban sprawl and climate warming , 2009 .
[52] Aníbal Pauchard,et al. Ain't no mountain high enough: plant invasions reaching new elevations , 2009 .
[53] M. Araújo,et al. BIOMOD – a platform for ensemble forecasting of species distributions , 2009 .
[54] M. Zappa,et al. Climate change and plant distribution: local models predict high‐elevation persistence , 2009 .
[55] M. Leishman,et al. Different climatic envelopes among invasive populations may lead to underestimations of current and future biological invasions , 2009 .
[56] Antoine Guisan,et al. Shift in cytotype frequency and niche space in the invasive plant Centaurea maculosa. , 2009, Ecology.
[57] W. Hargrove,et al. The projection of species distribution models and the problem of non-analog climate , 2009, Biodiversity and Conservation.
[58] N. Zimmermann,et al. Predicting future distributions of mountain plants under climate change: does dispersal capacity matter? , 2009 .
[59] Mathieu Marmion,et al. Evaluation of consensus methods in predictive species distribution modelling , 2009 .
[60] G. Newell,et al. Assessing the accuracy of species distribution models more thoroughly , 2009 .
[61] Antoine Guisan,et al. Predicting current and future biological invasions: both native and invaded ranges matter , 2008, Biology Letters.
[62] Antonio Trabucco,et al. Climate change mitigation: a spatial analysis of global land suitability for Clean Development Mechanism afforestation and reforestation , 2008 .
[63] T. Dawson,et al. Spatial scale affects bioclimate model projections of climate change impacts on mountain plants , 2008 .
[64] W. Kurz,et al. Mountain pine beetle and forest carbon feedback to climate change , 2008, Nature.
[65] Rosa M. Chefaoui,et al. Assessing the effects of pseudo-absences on predictive distribution model performance , 2008 .
[66] Petr Pyšek,et al. Traits Associated with Invasiveness in Alien Plants: Where Do we Stand? , 2008 .
[67] M. A N D A,et al. Spatial scale affects bioclimate model projections of climate change impacts on mountain plants , 2008 .
[68] Jorge Soberón. Grinnellian and Eltonian niches and geographic distributions of species. , 2007, Ecology letters.
[69] A. Townsend Peterson,et al. The influence of spatial errors in species occurrence data used in distribution models , 2007 .
[70] J. Grytnes,et al. An indirect area effect on elevational species richness patterns , 2007 .
[71] O. Edenhofer,et al. Mitigation from a cross-sectoral perspective , 2007 .
[72] C. McCain. Could temperature and water availability drive elevational species richness patterns? A global case study for bats , 2006 .
[73] Omri Allouche,et al. Assessing the accuracy of species distribution models: prevalence, kappa and the true skill statistic (TSS) , 2006 .
[74] A. Hirzel,et al. Evaluating the ability of habitat suitability models to predict species presences , 2006 .
[75] P. Edwards,et al. Recognition that causal processes change during plant invasion helps explain conflicts in evidence. , 2006, Ecology.
[76] Robert P. Anderson,et al. Maximum entropy modeling of species geographic distributions , 2006 .
[77] John W. Morgan,et al. Plant invasions in treeless vegetation of the Australian Alps. , 2005 .
[78] R. Billeter,et al. Altitudinal distribution of alien plant species in the Swiss Alps , 2005 .
[79] C. G. Parks,et al. Natural and land-use history of the Northwest mountain ecoregions (USA) in relation to patterns of plant invasions , 2005 .
[80] J. L. Parra,et al. Very high resolution interpolated climate surfaces for global land areas , 2005 .
[81] P. Choler. Consistent Shifts in Alpine Plant Traits along a Mesotopographical Gradient , 2005 .
[82] F. Bello,et al. Predictive value of plant traits to grazing along a climatic gradient in the Mediterranean , 2005 .
[83] M. Kearney. Hybridization, glaciation and geographical parthenogenesis. , 2005, Trends in ecology & evolution.
[84] W. Thuiller,et al. Predicting species distribution: offering more than simple habitat models. , 2005, Ecology letters.
[85] S. Lavorel,et al. Niche properties and geographical extent as predictors of species sensitivity to climate change , 2005 .
[86] BiolFlor — a new plant‐trait database as a tool for plant invasion ecology , 2004 .
[87] T. Dawson,et al. Modelling species distributions in Britain: a hierarchical integration of climate and land-cover data , 2004 .
[88] S. Lavorel,et al. Effects of restricting environmental range of data to project current and future species distributions , 2004 .
[89] Aníbal Pauchard,et al. Influence of Elevation, Land Use, and Landscape Context on Patterns of Alien Plant Invasions along Roadsides in Protected Areas of South‐Central Chile , 2004 .
[90] D. Lodge,et al. An ounce of prevention or a pound of cure: bioeconomic risk analysis of invasive species , 2002, Proceedings of the Royal Society of London. Series B: Biological Sciences.
[91] C. Atkinson,et al. Interactions of climate change with biological invasions and land use in the Hawaiian Islands: Modeling the fate of endemic birds using a geographic information system , 2002, Proceedings of the National Academy of Sciences of the United States of America.
[92] Monica F. Myers,et al. Climate change and the resurgence of malaria in the East African highlands , 2002, Nature.
[93] G. Powell,et al. Terrestrial Ecoregions of the World: A New Map of Life on Earth , 2001 .
[94] J. Friedman. Special Invited Paper-Additive logistic regression: A statistical view of boosting , 2000 .
[95] N. Zimmermann,et al. Predictive mapping of alpine grasslands in Switzerland: Species versus community approach , 1999 .
[96] P. Gauthier,et al. Genetic variation and gene flow in Alpine diploid and tetraploid populations of Lotus (L. alpinus (D.C.) Schleicher/L. corniculatus L.). I. Insights from morphological and allozyme markers , 1998, Heredity.
[97] R. Tibshirani,et al. Additive Logistic Regression : a Statistical View ofBoostingJerome , 1998 .
[98] C. Rahbek. The elevational gradient of species richness: a uniform pattern? , 1995 .
[99] M. Zweig,et al. Receiver-operating characteristic (ROC) plots: a fundamental evaluation tool in clinical medicine. , 1993, Clinical chemistry.
[100] J. P. Grime,et al. Plant Strategies and Vegetation Processes. , 1980 .
[101] W. D. Billings. ADAPTATIONS AND ORIGINS OF ALPINE PLANTS , 1974 .